{"as_of":"2026-08-23T14:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd394e8e09d1f6290340c36e164e439b34dd43f73f74d431f6d9d8cb4bfba66b","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T23:27:04.098165Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.30278/citation-record","integrity":"/paper/2605.30278/integrity","json":"/paper/2605.30278/citation-record.json","paper":"/paper/2605.30278"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"A Unifying Framework for Parallel and Distributed Processing in R using Futures.The R Journal, 13(2):208–227, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:c15376962fb21218c22a3b2a0374986b97ca1e67d0341a20f52c7bb588375dcf","observation_id":"ad11c23f-4ad4-40f3-a454-a6b5c4d77aa0","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.07090","last_updated":"2024-11-01T11:45:18Z","snapshot_observed_at":"2026-08-16T17:00:19.613510Z","submitted_at":"2022-05-14T16:11:10Z","title":"Evaluating Forecasts with scoringutils in R","version":2},"cited_work":{"arxiv_id":"2205.07090","doi":"10.48550/arxiv.2205.07090.url:","metadata_source":"arxiv_reference","pith_arxiv_id":"2205.07090","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Evaluating forecasts with scoringutils in r","venue":null,"work_id":"94b39941-7bc3-4453-b394-92bdc553596d","year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"cited_paper":"/paper/2205.07090","citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:f265d46a25ebeb45bc8f14baa090d0dbd9956deb1b160f07ddad34191da1ad5d","observation_id":"d372d711-831e-4373-a9a1-0d0b90461ce1","resolution":{"observed_at":"2026-06-28T23:32:47.459545Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Ray, Tilmann Gneiting, and Nicholas G","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:95db9197726f37b8b176d453c1caefb72abbe7df9aa1987932477e0533f26451","observation_id":"a1f510bd-a278-4e15-8a2b-bdbcd98e0234","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.PLOS Computational Biology, 14(6):e1006134, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:b6c23f8da5c73bcc99ed35b55112f8d4ebdd43faf3feb23824fa40579f321fd5","observation_id":"44dd1ae6-3a0d-462f-bc57-8e4c7266bb7b","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 1.7.7.1","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:2bf0734049b5ae1829a874aaf889e73c3514bd29171e915063dd23941ad4a55b","observation_id":"dcd82cca-60a6-4f52-8fc4-5ca804a942a8","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"The hubverse: open tools for collaborative forecasting, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:9e3d09aef409faafa260a06eea55ca7a86757fa19c8191034af437838d06d4f4","observation_id":"96ff495e-5309-4cdc-a482-9467fcceb3cb","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Understanding global feature contributions with 25 additive importance measures.Advances in neural information processing systems, 33:17212– 17223, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:2060a9e68cf39586910fb8c137296e4af1fec0ce49bcf0842bdb4689550d4844","observation_id":"d1a2b095-20d0-40cc-b6e1-c19b8d22dd75","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"The United States COVID-19 forecast hub dataset.Scientific data, 9(1):462, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:647e21f11b4033f05b5ae72366cc2f2c5c1d6c87ad551e663c50cb87630b0aff","observation_id":"17132224-2ff5-4c05-8f43-566b43531802","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Flu scenario modeling hub, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:2d542196d0a93e9dadd549ea3640f0468d554f06963ff00adf03de0a7e5bdc20","observation_id":"028b7141-1236-4a6d-ba36-e58b3577af0f","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Weather forecasting with ensemble methods.Science, 310(5746):248–249, 2005","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:9476a9087237acd6904f2c3272c1e743ca516aa77fddf8d5e94b9f17b62354e8","observation_id":"bde1d5c0-ce35-49a4-81eb-561b51c8d18a","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Strictly Proper Scoring Rules, Prediction, and Estima- tion.Journal of the American Statistical Association, 102(477):359–378, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:1724a93e54037bd4b9f47b41e0d635acee7edf7d847a864b0125b8dfd04455a2","observation_id":"7f0c98ef-eb42-4d14-a3c1-c8b26737cce4","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 0.1.4","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:d0f97cdaff37d9bf47aecfd1fe99622fd85240e2727b510891d8c5f899a461f4","observation_id":"1039b405-1938-404d-8552-a049bb8eac2a","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Springer Series in Statistics","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:ededc97361004a3345b4b87470b5ed7cdef315f0b5bdb0a8efcb2825540ebab6","observation_id":"41943a56-fe03-45a8-a6a8-3de1824c99c1","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Financial Time Series Fore- casting with the Deep Learning Ensemble Model.Mathematics, 11(4), 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:2e052054a1751d2b4d36de4970d21ca17f5491796e9e5fd3a8c6a2499109b4f4","observation_id":"3af9d204-f529-4344-913c-c64b882e1e79","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 3.2.0","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:0be9ceae6c94bc380ed72a4d4ae8142c895b09afe7b7441e6e6fa8361f3da1b6","observation_id":"89564811-ba72-458e-9c46-aafa89943eb5","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Evaluating probabilistic forecasts with scoringRules.Journal of Statistical Software, 90(12):1–37, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:2ca43bb480cda0ad9b8e622db35e075e6efda1b7865e3ed3a046d386d1b87c21","observation_id":"c33c1f62-1276-47e1-bdfd-95a6d6ce60cf","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Guerra, Sophie A","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:22002f483f7d50a60f09405471c4504aceec2191111b797658153aea337f9349","observation_id":"6c46faaf-f646-4d31-aa8c-33f08cc3f671","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Co- ordinating collaborative infectious disease modeling projects with the hubverse.medRxiv, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:0a68035c110020084f9cad3eea03bb25f7a954f7a2e2fddc6fd3f257eee28322","observation_id":"329c746e-bd68-45b7-b647-ac3c7e5baa61","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Ray, and Nicholas G","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:53cf35740a86ef976eaf3aa9c88ee3d1b00e045720be5031f837b363d3be584c","observation_id":"02967443-bd41-440c-b0e2-b5b9ea40b311","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 0.6.0.9000, commit 71964f7cd6f79e48f3038952fed8f742a7fe6a5c","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:6824d98523f9152ba545fb4a4fba64306f282fd4f6dc212b23933d1b3f098ed0","observation_id":"60535017-1831-43a8-8f82-ce9fa46d5a9a","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Building Predictive Models in R Using the caret Package.Journal of Statistical Software, 28(5):1–26, 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:2865ea5007dd23c30fa2496e59d2607ecd5ffc59849d18197d39d915b90ce5bb","observation_id":"f75e9be4-2a84-4ac4-9274-f1986fcacce6","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Classification and Regression by randomForest.R News, 2(3):18–22, 2002","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:269224b3dda0fcaf7a7b1edbc3dea3845f5b86c7c261edbbea3bb07b35ff85af","observation_id":"9f2f3a8e-29c4-4bd1-8c07-098db701e71b","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:1bd755575f064f33a3d0e384700b8fb78bb9eb130c11246fc7fd43f7a94ad0d8","observation_id":"d741ee01-4c1d-4952-916b-c13d266bd9e0","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"PostForecasts","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:9458c30d5a8aa26671c20b3e1f953b13197d7f3ea9139d6db6ecca963a633780","observation_id":"6b8478e5-c03c-4d0f-8077-f35a4fcd4cb0","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"From local explanations to global understanding with explainable AI for trees.Nature machine intelligence, 2(1):56–67, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:cc4fe27c104f4245b0c1d79d6b8078e2f4368d96de5d0023540bf19606e76834","observation_id":"576baaac-6879-48ad-a51f-e3758cc7f8b6","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"A unified approach to interpreting model predictions.Advances in neural information processing systems, 30, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:491f5810ff697c29def3250f7f2579ae6bde0d36a64c566079eaa02275874825","observation_id":"ceb21735-96a4-4c6c-9d22-ca286bad8b59","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Lutz, Mimi P","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:b0f024d56c65b10132cb02d4e68928ce4bdff366047cfa9decbb455ae7ba68e1","observation_id":"3538b2de-de6a-4dac-b4af-f8e216fcfd33","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 0.4.0, https://github.com/tidyverts/fable","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:0c04fef300ffa8bd4338501a7d51ae740f13741016fd1e07b261ccdbd9424569","observation_id":"173b3200-397c-40d9-8950-f003f8230883","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Air: An r formatter and language server, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:856e5094e24c8395c26fbbd679d08ef6340a95809976b45d8d260a3a95b21e1a","observation_id":"ee9081a0-90be-41cb-adfc-799da1cee8ac","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Ray and Nicholas G","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:fa1958d07a910a899d82bfa8284d5e1771f59b82087a32215110b7219225d4c4","observation_id":"013a40a3-01f6-46f8-8197-f8907cd1bc39","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 0.1.0.9000, commit df75591bff3d68c3ecb1cad4798b1334230203f7","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:e8a9f134af1f89b3903999cc73828a8ac9d17302b4b536dfd8c8a2a2ff4a6568","observation_id":"f53fea5f-000b-40b5-8205-cd109b30ff9e","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"hubEvals: Basic tools for scoring hubverse forecasts, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:5bd51f8b9c959a2d890064acb7b09ecd3acafeff06aff5e88683f4d7e995fbd4","observation_id":"ad761663-d523-483b-884f-5f836abf9d73","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Reich, Craig J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:2f0463f0086de978feff345c3680aebc18e3367fad3107dc79d622b1a18c5d8f","observation_id":"9a19658c-eca5-4464-96f4-0b6736555147","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 2.2.2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:b65065faadde31fefa67d81e6b43fe7c2fcb4e99f26b20a811640228e90baa06","observation_id":"81928c8f-62a6-4185-9bb0-84e0f631beb1","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Multi-Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:363b3a06480f6fcd4863924ecf7b30612fed75e5aebee941c374f95c05bb9470","observation_id":"f2e66ffc-4d31-45de-805a-6ffe0283f6f1","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 1.0.0.9000, commit ca66c89340933124618aad8d100bfddd89637b7d","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:588db2203f921627be1c9f63aa6e95c374a6d9b2aeb672c866c8a51cc713df3e","observation_id":"c3cd2a69-4881-4583-96cc-a5eec6d28c00","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"A value for n-person games.Contribution to the Theory of Games, 2, 1953","venue":null,"work_id":null,"year":1953},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:2586488e2eda691f6b79ef458f2f1b1e8408831aded7fee831087b0ddd56c29f","observation_id":"6eac5ec2-3093-48b7-88dd-f31fbddae436","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"A new ensemble deep learning approach for exchange rates forecasting and trading.Advanced Engineering Informatics, 46:101160, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:5ec46aea63fa31eb45bf4abb58c12aff8ecf5e37bb2102918650910982401ad0","observation_id":"f3012fd0-5058-4865-848b-640e4c2a635b","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:328198029362bbcf64a5c9b5f9f484c4cf093c1eb9978e9b0010563be7f533a8","observation_id":"2500d04f-3c92-4348-bbaf-123308ab006e","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:af5b9dbb44461fb31bbfbd42471e74d0b8b9b01cc99a55f34fdc8af37c8cea42","observation_id":"b60c837e-fc98-4df2-9734-860dd0710e5f","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.Epidemics, 22:13–21, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:731b75cfb4d464937e455d69d2ad7fbec67d37c60be86a5703d4df71dda62254","observation_id":"03bacee3-1e10-405f-af34-1f5f401796f1","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"testthat: Get started with testing.The R Journal, 3:5–10, 2011","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:91f386bac5e2c0e2da1ed2e89ebb522621d884c7599b204b92f2bb8c83843ab7","observation_id":"4cc86fe1-f21a-4aad-af12-786d8bd3e29a","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"Springer-Verlag New York, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:0567111f5cb79786550b710053839752bcd8de5348c63d1a54c883f77ec06e0c","observation_id":"ae2ff629-dc11-4b86-82d8-5672e857b725","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 1.51","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:22d0d1a3731312388f388168a530a656fbd9b58822fc9c26d8d07a62a5f4ddd1","observation_id":"c83bc2dc-7cfc-44a5-beca-f5817e854837","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 1.1.3","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:3ba969a74073a333f6a0eab136452bb3e110023d6618ce717897ffac42f5916c","observation_id":"d7d550d2-0198-44a6-8f7d-1f3c69fe5ab1","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:27:04.098165Z","title":"R package version 1.4.0","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-28T23:27:04.098165Z"},"links":{"citing_paper":"/paper/2605.30278"},"observation_digest":"sha256:7efe0e213f05e7e58257e966e368187f58c2ccdbde9f628ca7a9a2da059d8431","observation_id":"9d15f1ad-d662-435c-8696-dde772bf0b08","resolution":{"observed_at":"2026-06-28T23:27:04.098165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.30278","last_updated":"2026-06-03T18:15:05Z","latest_version":2,"primary_category":"stat.CO","snapshot_observed_at":"2026-08-13T14:16:46.686205Z","submitted_at":"2026-05-28T17:33:55Z","title":"modelimportance: An R package for evaluating model importance within a multi-model ensemble"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":44,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":46},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2605.30278."}